{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 调库实现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import os\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.optim as optim\n",
    "from torchvision import datasets, transforms, models\n",
    "from torchsummary import summary\n",
    "\n",
    "os.environ[\"http_proxy\"] = \"http://127.0.0.1:7890\"\n",
    "os.environ[\"https_proxy\"] = \"http://127.0.0.1:7890\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_size = 128\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "transform = transforms.Compose([\n",
    "    transforms.Resize((299, 299)),  \n",
    "    transforms.Grayscale(num_output_channels=3),  \n",
    "    transforms.ToTensor()  \n",
    "])\n",
    "\n",
    "trainloader = torch.utils.data.DataLoader(\n",
    "    datasets.FashionMNIST(\n",
    "        \"data\",\n",
    "        train=True,\n",
    "        download=True,\n",
    "        transform=transform\n",
    "    ),\n",
    "    batch_size=batch_size,\n",
    "    shuffle=True\n",
    ")\n",
    "\n",
    "testloader = torch.utils.data.DataLoader(\n",
    "    datasets.FashionMNIST(\n",
    "        \"data\",\n",
    "        train=False,\n",
    "        download=True,\n",
    "        transform=transform\n",
    "    ),\n",
    "    batch_size=batch_size,\n",
    "    shuffle=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_model(name, pretrained):\n",
    "    if name == \"v1\":\n",
    "        model = models.GoogLeNet(weights=pretrained)\n",
    "    if name == \"v3\":\n",
    "        model = models.inception_v3(weights=pretrained)\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Inception(nn.Module):\n",
    "    def __init__(self, name, pretrained, classes):\n",
    "        super(Inception, self).__init__()\n",
    "        self.base = get_model(name, pretrained)\n",
    "        self.base.fc = nn.Linear(self.base.fc.in_features, classes)\n",
    "\n",
    "    def forward(self, x):\n",
    "        output = self.base(x)\n",
    "        if isinstance(output, torch.Tensor):\n",
    "            return output\n",
    "        else:\n",
    "            return output.logits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----------------------------------------------------------------\n",
      "        Layer (type)               Output Shape         Param #\n",
      "================================================================\n",
      "            Conv2d-1         [-1, 32, 149, 149]             864\n",
      "       BatchNorm2d-2         [-1, 32, 149, 149]              64\n",
      "       BasicConv2d-3         [-1, 32, 149, 149]               0\n",
      "            Conv2d-4         [-1, 32, 147, 147]           9,216\n",
      "       BatchNorm2d-5         [-1, 32, 147, 147]              64\n",
      "       BasicConv2d-6         [-1, 32, 147, 147]               0\n",
      "            Conv2d-7         [-1, 64, 147, 147]          18,432\n",
      "       BatchNorm2d-8         [-1, 64, 147, 147]             128\n",
      "       BasicConv2d-9         [-1, 64, 147, 147]               0\n",
      "        MaxPool2d-10           [-1, 64, 73, 73]               0\n",
      "           Conv2d-11           [-1, 80, 73, 73]           5,120\n",
      "      BatchNorm2d-12           [-1, 80, 73, 73]             160\n",
      "      BasicConv2d-13           [-1, 80, 73, 73]               0\n",
      "           Conv2d-14          [-1, 192, 71, 71]         138,240\n",
      "      BatchNorm2d-15          [-1, 192, 71, 71]             384\n",
      "      BasicConv2d-16          [-1, 192, 71, 71]               0\n",
      "        MaxPool2d-17          [-1, 192, 35, 35]               0\n",
      "           Conv2d-18           [-1, 64, 35, 35]          12,288\n",
      "      BatchNorm2d-19           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-20           [-1, 64, 35, 35]               0\n",
      "           Conv2d-21           [-1, 48, 35, 35]           9,216\n",
      "      BatchNorm2d-22           [-1, 48, 35, 35]              96\n",
      "      BasicConv2d-23           [-1, 48, 35, 35]               0\n",
      "           Conv2d-24           [-1, 64, 35, 35]          76,800\n",
      "      BatchNorm2d-25           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-26           [-1, 64, 35, 35]               0\n",
      "           Conv2d-27           [-1, 64, 35, 35]          12,288\n",
      "      BatchNorm2d-28           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-29           [-1, 64, 35, 35]               0\n",
      "           Conv2d-30           [-1, 96, 35, 35]          55,296\n",
      "      BatchNorm2d-31           [-1, 96, 35, 35]             192\n",
      "      BasicConv2d-32           [-1, 96, 35, 35]               0\n",
      "           Conv2d-33           [-1, 96, 35, 35]          82,944\n",
      "      BatchNorm2d-34           [-1, 96, 35, 35]             192\n",
      "      BasicConv2d-35           [-1, 96, 35, 35]               0\n",
      "           Conv2d-36           [-1, 32, 35, 35]           6,144\n",
      "      BatchNorm2d-37           [-1, 32, 35, 35]              64\n",
      "      BasicConv2d-38           [-1, 32, 35, 35]               0\n",
      "       InceptionA-39          [-1, 256, 35, 35]               0\n",
      "           Conv2d-40           [-1, 64, 35, 35]          16,384\n",
      "      BatchNorm2d-41           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-42           [-1, 64, 35, 35]               0\n",
      "           Conv2d-43           [-1, 48, 35, 35]          12,288\n",
      "      BatchNorm2d-44           [-1, 48, 35, 35]              96\n",
      "      BasicConv2d-45           [-1, 48, 35, 35]               0\n",
      "           Conv2d-46           [-1, 64, 35, 35]          76,800\n",
      "      BatchNorm2d-47           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-48           [-1, 64, 35, 35]               0\n",
      "           Conv2d-49           [-1, 64, 35, 35]          16,384\n",
      "      BatchNorm2d-50           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-51           [-1, 64, 35, 35]               0\n",
      "           Conv2d-52           [-1, 96, 35, 35]          55,296\n",
      "      BatchNorm2d-53           [-1, 96, 35, 35]             192\n",
      "      BasicConv2d-54           [-1, 96, 35, 35]               0\n",
      "           Conv2d-55           [-1, 96, 35, 35]          82,944\n",
      "      BatchNorm2d-56           [-1, 96, 35, 35]             192\n",
      "      BasicConv2d-57           [-1, 96, 35, 35]               0\n",
      "           Conv2d-58           [-1, 64, 35, 35]          16,384\n",
      "      BatchNorm2d-59           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-60           [-1, 64, 35, 35]               0\n",
      "       InceptionA-61          [-1, 288, 35, 35]               0\n",
      "           Conv2d-62           [-1, 64, 35, 35]          18,432\n",
      "      BatchNorm2d-63           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-64           [-1, 64, 35, 35]               0\n",
      "           Conv2d-65           [-1, 48, 35, 35]          13,824\n",
      "      BatchNorm2d-66           [-1, 48, 35, 35]              96\n",
      "      BasicConv2d-67           [-1, 48, 35, 35]               0\n",
      "           Conv2d-68           [-1, 64, 35, 35]          76,800\n",
      "      BatchNorm2d-69           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-70           [-1, 64, 35, 35]               0\n",
      "           Conv2d-71           [-1, 64, 35, 35]          18,432\n",
      "      BatchNorm2d-72           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-73           [-1, 64, 35, 35]               0\n",
      "           Conv2d-74           [-1, 96, 35, 35]          55,296\n",
      "      BatchNorm2d-75           [-1, 96, 35, 35]             192\n",
      "      BasicConv2d-76           [-1, 96, 35, 35]               0\n",
      "           Conv2d-77           [-1, 96, 35, 35]          82,944\n",
      "      BatchNorm2d-78           [-1, 96, 35, 35]             192\n",
      "      BasicConv2d-79           [-1, 96, 35, 35]               0\n",
      "           Conv2d-80           [-1, 64, 35, 35]          18,432\n",
      "      BatchNorm2d-81           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-82           [-1, 64, 35, 35]               0\n",
      "       InceptionA-83          [-1, 288, 35, 35]               0\n",
      "           Conv2d-84          [-1, 384, 17, 17]         995,328\n",
      "      BatchNorm2d-85          [-1, 384, 17, 17]             768\n",
      "      BasicConv2d-86          [-1, 384, 17, 17]               0\n",
      "           Conv2d-87           [-1, 64, 35, 35]          18,432\n",
      "      BatchNorm2d-88           [-1, 64, 35, 35]             128\n",
      "      BasicConv2d-89           [-1, 64, 35, 35]               0\n",
      "           Conv2d-90           [-1, 96, 35, 35]          55,296\n",
      "      BatchNorm2d-91           [-1, 96, 35, 35]             192\n",
      "      BasicConv2d-92           [-1, 96, 35, 35]               0\n",
      "           Conv2d-93           [-1, 96, 17, 17]          82,944\n",
      "      BatchNorm2d-94           [-1, 96, 17, 17]             192\n",
      "      BasicConv2d-95           [-1, 96, 17, 17]               0\n",
      "       InceptionB-96          [-1, 768, 17, 17]               0\n",
      "           Conv2d-97          [-1, 192, 17, 17]         147,456\n",
      "      BatchNorm2d-98          [-1, 192, 17, 17]             384\n",
      "      BasicConv2d-99          [-1, 192, 17, 17]               0\n",
      "          Conv2d-100          [-1, 128, 17, 17]          98,304\n",
      "     BatchNorm2d-101          [-1, 128, 17, 17]             256\n",
      "     BasicConv2d-102          [-1, 128, 17, 17]               0\n",
      "          Conv2d-103          [-1, 128, 17, 17]         114,688\n",
      "     BatchNorm2d-104          [-1, 128, 17, 17]             256\n",
      "     BasicConv2d-105          [-1, 128, 17, 17]               0\n",
      "          Conv2d-106          [-1, 192, 17, 17]         172,032\n",
      "     BatchNorm2d-107          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-108          [-1, 192, 17, 17]               0\n",
      "          Conv2d-109          [-1, 128, 17, 17]          98,304\n",
      "     BatchNorm2d-110          [-1, 128, 17, 17]             256\n",
      "     BasicConv2d-111          [-1, 128, 17, 17]               0\n",
      "          Conv2d-112          [-1, 128, 17, 17]         114,688\n",
      "     BatchNorm2d-113          [-1, 128, 17, 17]             256\n",
      "     BasicConv2d-114          [-1, 128, 17, 17]               0\n",
      "          Conv2d-115          [-1, 128, 17, 17]         114,688\n",
      "     BatchNorm2d-116          [-1, 128, 17, 17]             256\n",
      "     BasicConv2d-117          [-1, 128, 17, 17]               0\n",
      "          Conv2d-118          [-1, 128, 17, 17]         114,688\n",
      "     BatchNorm2d-119          [-1, 128, 17, 17]             256\n",
      "     BasicConv2d-120          [-1, 128, 17, 17]               0\n",
      "          Conv2d-121          [-1, 192, 17, 17]         172,032\n",
      "     BatchNorm2d-122          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-123          [-1, 192, 17, 17]               0\n",
      "          Conv2d-124          [-1, 192, 17, 17]         147,456\n",
      "     BatchNorm2d-125          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-126          [-1, 192, 17, 17]               0\n",
      "      InceptionC-127          [-1, 768, 17, 17]               0\n",
      "          Conv2d-128          [-1, 192, 17, 17]         147,456\n",
      "     BatchNorm2d-129          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-130          [-1, 192, 17, 17]               0\n",
      "          Conv2d-131          [-1, 160, 17, 17]         122,880\n",
      "     BatchNorm2d-132          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-133          [-1, 160, 17, 17]               0\n",
      "          Conv2d-134          [-1, 160, 17, 17]         179,200\n",
      "     BatchNorm2d-135          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-136          [-1, 160, 17, 17]               0\n",
      "          Conv2d-137          [-1, 192, 17, 17]         215,040\n",
      "     BatchNorm2d-138          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-139          [-1, 192, 17, 17]               0\n",
      "          Conv2d-140          [-1, 160, 17, 17]         122,880\n",
      "     BatchNorm2d-141          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-142          [-1, 160, 17, 17]               0\n",
      "          Conv2d-143          [-1, 160, 17, 17]         179,200\n",
      "     BatchNorm2d-144          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-145          [-1, 160, 17, 17]               0\n",
      "          Conv2d-146          [-1, 160, 17, 17]         179,200\n",
      "     BatchNorm2d-147          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-148          [-1, 160, 17, 17]               0\n",
      "          Conv2d-149          [-1, 160, 17, 17]         179,200\n",
      "     BatchNorm2d-150          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-151          [-1, 160, 17, 17]               0\n",
      "          Conv2d-152          [-1, 192, 17, 17]         215,040\n",
      "     BatchNorm2d-153          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-154          [-1, 192, 17, 17]               0\n",
      "          Conv2d-155          [-1, 192, 17, 17]         147,456\n",
      "     BatchNorm2d-156          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-157          [-1, 192, 17, 17]               0\n",
      "      InceptionC-158          [-1, 768, 17, 17]               0\n",
      "          Conv2d-159          [-1, 192, 17, 17]         147,456\n",
      "     BatchNorm2d-160          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-161          [-1, 192, 17, 17]               0\n",
      "          Conv2d-162          [-1, 160, 17, 17]         122,880\n",
      "     BatchNorm2d-163          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-164          [-1, 160, 17, 17]               0\n",
      "          Conv2d-165          [-1, 160, 17, 17]         179,200\n",
      "     BatchNorm2d-166          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-167          [-1, 160, 17, 17]               0\n",
      "          Conv2d-168          [-1, 192, 17, 17]         215,040\n",
      "     BatchNorm2d-169          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-170          [-1, 192, 17, 17]               0\n",
      "          Conv2d-171          [-1, 160, 17, 17]         122,880\n",
      "     BatchNorm2d-172          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-173          [-1, 160, 17, 17]               0\n",
      "          Conv2d-174          [-1, 160, 17, 17]         179,200\n",
      "     BatchNorm2d-175          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-176          [-1, 160, 17, 17]               0\n",
      "          Conv2d-177          [-1, 160, 17, 17]         179,200\n",
      "     BatchNorm2d-178          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-179          [-1, 160, 17, 17]               0\n",
      "          Conv2d-180          [-1, 160, 17, 17]         179,200\n",
      "     BatchNorm2d-181          [-1, 160, 17, 17]             320\n",
      "     BasicConv2d-182          [-1, 160, 17, 17]               0\n",
      "          Conv2d-183          [-1, 192, 17, 17]         215,040\n",
      "     BatchNorm2d-184          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-185          [-1, 192, 17, 17]               0\n",
      "          Conv2d-186          [-1, 192, 17, 17]         147,456\n",
      "     BatchNorm2d-187          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-188          [-1, 192, 17, 17]               0\n",
      "      InceptionC-189          [-1, 768, 17, 17]               0\n",
      "          Conv2d-190          [-1, 192, 17, 17]         147,456\n",
      "     BatchNorm2d-191          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-192          [-1, 192, 17, 17]               0\n",
      "          Conv2d-193          [-1, 192, 17, 17]         147,456\n",
      "     BatchNorm2d-194          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-195          [-1, 192, 17, 17]               0\n",
      "          Conv2d-196          [-1, 192, 17, 17]         258,048\n",
      "     BatchNorm2d-197          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-198          [-1, 192, 17, 17]               0\n",
      "          Conv2d-199          [-1, 192, 17, 17]         258,048\n",
      "     BatchNorm2d-200          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-201          [-1, 192, 17, 17]               0\n",
      "          Conv2d-202          [-1, 192, 17, 17]         147,456\n",
      "     BatchNorm2d-203          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-204          [-1, 192, 17, 17]               0\n",
      "          Conv2d-205          [-1, 192, 17, 17]         258,048\n",
      "     BatchNorm2d-206          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-207          [-1, 192, 17, 17]               0\n",
      "          Conv2d-208          [-1, 192, 17, 17]         258,048\n",
      "     BatchNorm2d-209          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-210          [-1, 192, 17, 17]               0\n",
      "          Conv2d-211          [-1, 192, 17, 17]         258,048\n",
      "     BatchNorm2d-212          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-213          [-1, 192, 17, 17]               0\n",
      "          Conv2d-214          [-1, 192, 17, 17]         258,048\n",
      "     BatchNorm2d-215          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-216          [-1, 192, 17, 17]               0\n",
      "          Conv2d-217          [-1, 192, 17, 17]         147,456\n",
      "     BatchNorm2d-218          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-219          [-1, 192, 17, 17]               0\n",
      "      InceptionC-220          [-1, 768, 17, 17]               0\n",
      "          Conv2d-221            [-1, 128, 5, 5]          98,304\n",
      "     BatchNorm2d-222            [-1, 128, 5, 5]             256\n",
      "     BasicConv2d-223            [-1, 128, 5, 5]               0\n",
      "          Conv2d-224            [-1, 768, 1, 1]       2,457,600\n",
      "     BatchNorm2d-225            [-1, 768, 1, 1]           1,536\n",
      "     BasicConv2d-226            [-1, 768, 1, 1]               0\n",
      "          Linear-227                 [-1, 1000]         769,000\n",
      "    InceptionAux-228                 [-1, 1000]               0\n",
      "          Conv2d-229          [-1, 192, 17, 17]         147,456\n",
      "     BatchNorm2d-230          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-231          [-1, 192, 17, 17]               0\n",
      "          Conv2d-232            [-1, 320, 8, 8]         552,960\n",
      "     BatchNorm2d-233            [-1, 320, 8, 8]             640\n",
      "     BasicConv2d-234            [-1, 320, 8, 8]               0\n",
      "          Conv2d-235          [-1, 192, 17, 17]         147,456\n",
      "     BatchNorm2d-236          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-237          [-1, 192, 17, 17]               0\n",
      "          Conv2d-238          [-1, 192, 17, 17]         258,048\n",
      "     BatchNorm2d-239          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-240          [-1, 192, 17, 17]               0\n",
      "          Conv2d-241          [-1, 192, 17, 17]         258,048\n",
      "     BatchNorm2d-242          [-1, 192, 17, 17]             384\n",
      "     BasicConv2d-243          [-1, 192, 17, 17]               0\n",
      "          Conv2d-244            [-1, 192, 8, 8]         331,776\n",
      "     BatchNorm2d-245            [-1, 192, 8, 8]             384\n",
      "     BasicConv2d-246            [-1, 192, 8, 8]               0\n",
      "      InceptionD-247           [-1, 1280, 8, 8]               0\n",
      "          Conv2d-248            [-1, 320, 8, 8]         409,600\n",
      "     BatchNorm2d-249            [-1, 320, 8, 8]             640\n",
      "     BasicConv2d-250            [-1, 320, 8, 8]               0\n",
      "          Conv2d-251            [-1, 384, 8, 8]         491,520\n",
      "     BatchNorm2d-252            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-253            [-1, 384, 8, 8]               0\n",
      "          Conv2d-254            [-1, 384, 8, 8]         442,368\n",
      "     BatchNorm2d-255            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-256            [-1, 384, 8, 8]               0\n",
      "          Conv2d-257            [-1, 384, 8, 8]         442,368\n",
      "     BatchNorm2d-258            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-259            [-1, 384, 8, 8]               0\n",
      "          Conv2d-260            [-1, 448, 8, 8]         573,440\n",
      "     BatchNorm2d-261            [-1, 448, 8, 8]             896\n",
      "     BasicConv2d-262            [-1, 448, 8, 8]               0\n",
      "          Conv2d-263            [-1, 384, 8, 8]       1,548,288\n",
      "     BatchNorm2d-264            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-265            [-1, 384, 8, 8]               0\n",
      "          Conv2d-266            [-1, 384, 8, 8]         442,368\n",
      "     BatchNorm2d-267            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-268            [-1, 384, 8, 8]               0\n",
      "          Conv2d-269            [-1, 384, 8, 8]         442,368\n",
      "     BatchNorm2d-270            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-271            [-1, 384, 8, 8]               0\n",
      "          Conv2d-272            [-1, 192, 8, 8]         245,760\n",
      "     BatchNorm2d-273            [-1, 192, 8, 8]             384\n",
      "     BasicConv2d-274            [-1, 192, 8, 8]               0\n",
      "      InceptionE-275           [-1, 2048, 8, 8]               0\n",
      "          Conv2d-276            [-1, 320, 8, 8]         655,360\n",
      "     BatchNorm2d-277            [-1, 320, 8, 8]             640\n",
      "     BasicConv2d-278            [-1, 320, 8, 8]               0\n",
      "          Conv2d-279            [-1, 384, 8, 8]         786,432\n",
      "     BatchNorm2d-280            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-281            [-1, 384, 8, 8]               0\n",
      "          Conv2d-282            [-1, 384, 8, 8]         442,368\n",
      "     BatchNorm2d-283            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-284            [-1, 384, 8, 8]               0\n",
      "          Conv2d-285            [-1, 384, 8, 8]         442,368\n",
      "     BatchNorm2d-286            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-287            [-1, 384, 8, 8]               0\n",
      "          Conv2d-288            [-1, 448, 8, 8]         917,504\n",
      "     BatchNorm2d-289            [-1, 448, 8, 8]             896\n",
      "     BasicConv2d-290            [-1, 448, 8, 8]               0\n",
      "          Conv2d-291            [-1, 384, 8, 8]       1,548,288\n",
      "     BatchNorm2d-292            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-293            [-1, 384, 8, 8]               0\n",
      "          Conv2d-294            [-1, 384, 8, 8]         442,368\n",
      "     BatchNorm2d-295            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-296            [-1, 384, 8, 8]               0\n",
      "          Conv2d-297            [-1, 384, 8, 8]         442,368\n",
      "     BatchNorm2d-298            [-1, 384, 8, 8]             768\n",
      "     BasicConv2d-299            [-1, 384, 8, 8]               0\n",
      "          Conv2d-300            [-1, 192, 8, 8]         393,216\n",
      "     BatchNorm2d-301            [-1, 192, 8, 8]             384\n",
      "     BasicConv2d-302            [-1, 192, 8, 8]               0\n",
      "      InceptionE-303           [-1, 2048, 8, 8]               0\n",
      "AdaptiveAvgPool2d-304           [-1, 2048, 1, 1]               0\n",
      "         Dropout-305           [-1, 2048, 1, 1]               0\n",
      "          Linear-306                   [-1, 10]          20,490\n",
      "      Inception3-307     [[-1, 10], [-1, 1000]]               0\n",
      "================================================================\n",
      "Total params: 25,132,754\n",
      "Trainable params: 25,132,754\n",
      "Non-trainable params: 0\n",
      "----------------------------------------------------------------\n",
      "Input size (MB): 1.02\n",
      "Forward/backward pass size (MB): 228.57\n",
      "Params size (MB): 95.87\n",
      "Estimated Total Size (MB): 325.47\n",
      "----------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "classes = 10\n",
    "name = \"v3\"\n",
    "model = Inception(name, True, classes).to(device)\n",
    "optimizer = optim.Adam(model.parameters(), lr=1e-4)\n",
    "summary(model, input_size=(3, 299, 299))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[ 0.5549,  0.2661,  0.2903,  0.0373, -0.2555, -0.0628,  0.1679, -0.0546,\n",
       "          0.0378,  0.1578],\n",
       "        [ 0.4214,  0.2111,  0.0894, -0.4151, -0.1183,  0.3902,  0.0729, -0.5532,\n",
       "         -0.2170,  0.4581]], device='cuda:0', grad_fn=<AddmmBackward0>)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = torch.randn(2,3,299,299).to(device)\n",
    "model(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epochs:0, loss:0.0739, acc:0.9388\n",
      "epochs:1, loss:0.1325, acc:0.9473\n",
      "epochs:2, loss:0.0856, acc:0.9461\n",
      "epochs:3, loss:0.2026, acc:0.9433\n",
      "epochs:4, loss:0.0349, acc:0.9425\n"
     ]
    }
   ],
   "source": [
    "epochs = 5\n",
    "accs, losses = [], []\n",
    "for epoch in range(epochs):\n",
    "    model.train()\n",
    "    for batch_idx, (x, y) in enumerate(trainloader):\n",
    "        optimizer.zero_grad()\n",
    "        x, y = x.to(device), y.to(device)\n",
    "        out = model(x)\n",
    "        loss = F.cross_entropy(out, y)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "    correct = 0\n",
    "    testloss = 0\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        for batch_idx, (x, y) in enumerate(testloader):\n",
    "            x, y = x.to(device), y.to(device)\n",
    "            out = model(x)\n",
    "            testloss += F.cross_entropy(out, y)\n",
    "            pred = out.max(dim=1, keepdim=True)[1]\n",
    "            correct += pred.eq(y.view_as(pred)).sum().item()\n",
    "\n",
    "    acc = correct / len(testloader.dataset)\n",
    "    testloss = testloss / (batch_idx + 1)\n",
    "    accs.append(acc)\n",
    "    losses.append(testloss)\n",
    "    print(\"epochs:{}, loss:{:.4f}, acc:{:.4f}\".format(epoch, loss, acc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array(0.17261642, dtype=float32),\n",
       " array(0.14966008, dtype=float32),\n",
       " array(0.16502136, dtype=float32),\n",
       " array(0.1789881, dtype=float32),\n",
       " array(0.1867883, dtype=float32)]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "losses1 = [t.cpu().numpy() for t in losses]\n",
    "losses1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 创建图形和轴对象\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "# 绘制准确率曲线\n",
    "color = \"tab:red\"\n",
    "ax1.set_xlabel(\"Epochs\")\n",
    "ax1.set_ylabel(\"Accuracy\", color=color)\n",
    "ax1.plot(range(1, epochs + 1), accs, color=color, label=\"Accuracy\")\n",
    "ax1.tick_params(axis=\"y\", labelcolor=color)\n",
    "ax1.legend(loc=\"upper left\")\n",
    "\n",
    "# 创建一个共享x轴的第二个y轴，用于绘制损失曲线\n",
    "ax2 = ax1.twinx()\n",
    "color = \"tab:blue\"\n",
    "ax2.set_ylabel(\"Loss\", color=color)\n",
    "ax2.plot(range(1, epochs + 1), losses1, color=color, label=\"Loss\")\n",
    "ax2.tick_params(axis=\"y\", labelcolor=color)\n",
    "ax2.legend(loc=\"upper right\")\n",
    "\n",
    "# 设置标题和布局调整\n",
    "plt.title(\"Model Accuracy and Loss per Epoch\")\n",
    "fig.tight_layout()  # 调整布局以适应第二个y轴\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 自定义实现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch import nn\n",
    "from torch.nn import functional as F"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_size = 128\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "transform = transforms.Compose([\n",
    "    transforms.Resize((96, 96)),  \n",
    "    transforms.ToTensor()  \n",
    "])\n",
    "\n",
    "trainloader = torch.utils.data.DataLoader(\n",
    "    datasets.FashionMNIST(\n",
    "        \"data\",\n",
    "        train=True,\n",
    "        download=True,\n",
    "        transform=transform\n",
    "    ),\n",
    "    batch_size=batch_size,\n",
    "    shuffle=True\n",
    ")\n",
    "\n",
    "testloader = torch.utils.data.DataLoader(\n",
    "    datasets.FashionMNIST(\n",
    "        \"data\",\n",
    "        train=False,\n",
    "        download=True,\n",
    "        transform=transform\n",
    "    ),\n",
    "    batch_size=batch_size,\n",
    "    shuffle=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Inception(nn.Module):\n",
    "    # c1--c4是每条路径的输出通道数\n",
    "    def __init__(self, in_channels, c1, c2, c3, c4, **kwargs):\n",
    "        super(Inception, self).__init__(**kwargs)\n",
    "        # 线路1，单1x1卷积层\n",
    "        self.p1_1 = nn.Conv2d(in_channels, c1, kernel_size=1)\n",
    "        # 线路2，1x1卷积层后接3x3卷积层\n",
    "        self.p2_1 = nn.Conv2d(in_channels, c2[0], kernel_size=1)\n",
    "        self.p2_2 = nn.Conv2d(c2[0], c2[1], kernel_size=3, padding=1)\n",
    "        # 线路3，1x1卷积层后接5x5卷积层\n",
    "        self.p3_1 = nn.Conv2d(in_channels, c3[0], kernel_size=1)\n",
    "        self.p3_2 = nn.Conv2d(c3[0], c3[1], kernel_size=5, padding=2)\n",
    "        # 线路4，3x3最大汇聚层后接1x1卷积层\n",
    "        self.p4_1 = nn.MaxPool2d(kernel_size=3, stride=1, padding=1)\n",
    "        self.p4_2 = nn.Conv2d(in_channels, c4, kernel_size=1)\n",
    "\n",
    "    def forward(self, x):\n",
    "        p1 = F.relu(self.p1_1(x))\n",
    "        p2 = F.relu(self.p2_2(F.relu(self.p2_1(x))))\n",
    "        p3 = F.relu(self.p3_2(F.relu(self.p3_1(x))))\n",
    "        p4 = F.relu(self.p4_2(self.p4_1(x)))\n",
    "        # 在通道维度上连结输出\n",
    "        return torch.cat((p1, p2, p3, p4), dim=1)\n",
    "b1 = nn.Sequential(nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3),\n",
    "                   nn.ReLU(),\n",
    "                   nn.MaxPool2d(kernel_size=3, stride=2, padding=1))\n",
    "\n",
    "b2 = nn.Sequential(nn.Conv2d(64, 64, kernel_size=1),\n",
    "                   nn.ReLU(),\n",
    "                   nn.Conv2d(64, 192, kernel_size=3, padding=1),\n",
    "                   nn.ReLU(),\n",
    "                   nn.MaxPool2d(kernel_size=3, stride=2, padding=1))\n",
    "\n",
    "b3 = nn.Sequential(Inception(192, 64, (96, 128), (16, 32), 32),\n",
    "                   Inception(256, 128, (128, 192), (32, 96), 64),\n",
    "                   nn.MaxPool2d(kernel_size=3, stride=2, padding=1))\n",
    "\n",
    "b4 = nn.Sequential(Inception(480, 192, (96, 208), (16, 48), 64),\n",
    "                   Inception(512, 160, (112, 224), (24, 64), 64),\n",
    "                   Inception(512, 128, (128, 256), (24, 64), 64),\n",
    "                   Inception(512, 112, (144, 288), (32, 64), 64),\n",
    "                   Inception(528, 256, (160, 320), (32, 128), 128),\n",
    "                   nn.MaxPool2d(kernel_size=3, stride=2, padding=1))\n",
    "\n",
    "b5 = nn.Sequential(Inception(832, 256, (160, 320), (32, 128), 128),\n",
    "                   Inception(832, 384, (192, 384), (48, 128), 128),\n",
    "                   nn.AdaptiveAvgPool2d((1,1)),\n",
    "                   nn.Flatten())\n",
    "\n",
    "model = nn.Sequential(b1, b2, b3, b4, b5, nn.Linear(1024, 10)).to(device)\n",
    "optimizer = optim.Adam(model.parameters(), lr=1e-4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequential output shape:\t torch.Size([1, 64, 24, 24])\n",
      "Sequential output shape:\t torch.Size([1, 192, 12, 12])\n",
      "Sequential output shape:\t torch.Size([1, 480, 6, 6])\n",
      "Sequential output shape:\t torch.Size([1, 832, 3, 3])\n",
      "Sequential output shape:\t torch.Size([1, 1024])\n",
      "Linear output shape:\t torch.Size([1, 10])\n"
     ]
    }
   ],
   "source": [
    "X = torch.rand(size=(1, 1, 96, 96)).to(device)\n",
    "for layer in model:\n",
    "    X = layer(X)\n",
    "    print(layer.__class__.__name__,'output shape:\\t', X.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epochs:0, loss:0.3893, acc:0.8386\n",
      "epochs:1, loss:0.2580, acc:0.8593\n",
      "epochs:2, loss:0.4101, acc:0.8647\n",
      "epochs:3, loss:0.3188, acc:0.8664\n",
      "epochs:4, loss:0.2843, acc:0.8762\n",
      "epochs:5, loss:0.2879, acc:0.8803\n",
      "epochs:6, loss:0.2990, acc:0.8887\n",
      "epochs:7, loss:0.4103, acc:0.8852\n",
      "epochs:8, loss:0.2948, acc:0.8888\n",
      "epochs:9, loss:0.1679, acc:0.8994\n"
     ]
    }
   ],
   "source": [
    "epochs = 10\n",
    "accs, losses = [], []\n",
    "for epoch in range(epochs):\n",
    "    model.train()\n",
    "    for batch_idx, (x, y) in enumerate(trainloader):\n",
    "        optimizer.zero_grad()\n",
    "        x, y = x.to(device), y.to(device)\n",
    "        out = model(x)\n",
    "        loss = F.cross_entropy(out, y)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "    correct = 0\n",
    "    testloss = 0\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        for batch_idx, (x, y) in enumerate(testloader):\n",
    "            x, y = x.to(device), y.to(device)\n",
    "            out = model(x)\n",
    "            testloss += F.cross_entropy(out, y)\n",
    "            pred = out.max(dim=1, keepdim=True)[1]\n",
    "            correct += pred.eq(y.view_as(pred)).sum().item()\n",
    "\n",
    "    acc = correct / len(testloader.dataset)\n",
    "    testloss = testloss / (batch_idx + 1)\n",
    "    accs.append(acc)\n",
    "    losses.append(testloss)\n",
    "    print(\"epochs:{}, loss:{:.4f}, acc:{:.4f}\".format(epoch, loss, acc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array(0.43918765, dtype=float32),\n",
       " array(0.37557697, dtype=float32),\n",
       " array(0.36451125, dtype=float32),\n",
       " array(0.34998655, dtype=float32),\n",
       " array(0.32424688, dtype=float32),\n",
       " array(0.31498906, dtype=float32),\n",
       " array(0.30247927, dtype=float32),\n",
       " array(0.31233773, dtype=float32),\n",
       " array(0.29869723, dtype=float32),\n",
       " array(0.2673631, dtype=float32)]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "losses1 = [t.cpu().numpy() for t in losses]\n",
    "losses1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 创建图形和轴对象\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "# 绘制准确率曲线\n",
    "color = \"tab:red\"\n",
    "ax1.set_xlabel(\"Epochs\")\n",
    "ax1.set_ylabel(\"Accuracy\", color=color)\n",
    "ax1.plot(range(1, epochs + 1), accs, color=color, label=\"Accuracy\")\n",
    "ax1.tick_params(axis=\"y\", labelcolor=color)\n",
    "ax1.legend(loc=\"upper left\")\n",
    "\n",
    "# 创建一个共享x轴的第二个y轴，用于绘制损失曲线\n",
    "ax2 = ax1.twinx()\n",
    "color = \"tab:blue\"\n",
    "ax2.set_ylabel(\"Loss\", color=color)\n",
    "ax2.plot(range(1, epochs + 1), losses1, color=color, label=\"Loss\")\n",
    "ax2.tick_params(axis=\"y\", labelcolor=color)\n",
    "ax2.legend(loc=\"upper right\")\n",
    "\n",
    "# 设置标题和布局调整\n",
    "plt.title(\"Model Accuracy and Loss per Epoch\")\n",
    "fig.tight_layout()  # 调整布局以适应第二个y轴\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = datasets.FashionMNIST(\n",
    "    \"data\",\n",
    "    train=True,\n",
    "    download=True,\n",
    "    transform=transforms.Compose(\n",
    "        [transforms.Resize((96, 96)), transforms.ToTensor()]\n",
    "    ),\n",
    ")\n",
    "classes = data.classes\n",
    "# 确保模型在评估模式\n",
    "model.eval()\n",
    "\n",
    "testloader = torch.utils.data.DataLoader(\n",
    "    datasets.FashionMNIST(\n",
    "        \"data\",\n",
    "        train=False,\n",
    "        download=True,\n",
    "        transform=transforms.Compose(\n",
    "            [transforms.Resize((96, 96)), transforms.ToTensor()]\n",
    "        ),\n",
    "    ),\n",
    "    batch_size=20,\n",
    "    shuffle=True,\n",
    ")\n",
    "dataiter = iter(testloader)\n",
    "images, labels = next(dataiter)\n",
    "\n",
    "images = images.to(device)\n",
    "\n",
    "# 使用模型进行预测\n",
    "outputs = model(images)\n",
    "\n",
    "# 将输出转换为预测的类别索引\n",
    "_, predicted = torch.max(outputs, 1)\n",
    "\n",
    "# 显示图片和预测结果\n",
    "plt.figure(figsize=(10, 10))\n",
    "for i in range(20):\n",
    "    plt.subplot(5, 4, i + 1)\n",
    "    plt.imshow(images[i].cpu().squeeze(), cmap=\"gray\")  # 显示图片，确保转换回 CPU\n",
    "    plt.title(f\"Predicted: {classes[predicted[i].item()]}\")\n",
    "    plt.axis(\"off\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pytorch",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
